172 results about "Radiation model" patented technology

A method is provided, the method comprising measuring at least one parameter characteristic of rapid thermal processing performed on a workpiece in a rapid thermal processing step, and modeling the at least one characteristic parameter measured using a first-principles radiation model. The method also comprises applying the first-principles radiation model to modify the rapid thermal processing performed in the rapid thermal processing step.

A method for processing remotely acquired imagery data includes identifying a region of lowest intensity in each of a plurality of different images for a plurality of different spectral bands and estimating first values for upwelling path radiance for each of the different images according to an intensity in the region in each of the different images. The method further includes selecting a visibility value and calculating second values for the upwelling path radiance for each of the different images, each of the second values based on a radiation transfer model, the radiation model generated using the visibility value and the meta-data. The method can also include comparing the first and the second values for the upwelling path radiance for the different images, adjusting the visibility value based on the comparison, and repeating the calculating, the comparing, and the adjusting steps until a termination condition is met.

The invention discloses an airplane infrared radiation and atmospheric transmittance modeling method, belonging to the field of airplane infrared radiation modeling and simulation in computer simulation. The modeling method comprises the following steps of: firstly acquiring an airplane infrared radiation intensity interface, establishing an airplane surface skin temperature model by integrating surrounding environmental radiation, and calculating airplane surface skin infrared radiation intensity according to an area model; and then establishing an engine effuser infrared radiation intensity model; and finally establishing an plume input parameter model and plume temperature model and calculating plume infrared radiation intensity. After acquiring an airplane zero-distance infrared radiation intensity model, the invention adopts software Modtran4 to establish a transmission radiation model of infrared radiation in an atmospheric environment to acquire atmospheric transmittance and further obtain an infrared radiation intensity signal reaching an sensor terminal. In the modeling method, the models are simple, and experiment data accords with real conditions. The modeling method can be applied to platform infrared scene generation and infrared target detection platforms easily.

The invention discloses an integrated modeling method for an infrared radiation characteristic of a complicated target. A bidirectional reflection distribution function model of infrared radiation on the surface of the complicated target and an infrared radiation model of non-uniform tail flame gas are considered based on a radiometry spectral ray tracking method; in a ray tracking process, the pixel on the focal plane of a detector is sampled, thus generating ray bundles, and an intersection between each ray and the complicated target in a scene is calculated; a radiation reflection value of each intersection is calculated, and the radiation brightness obtained by all the rays of the pixel is subjected to sampling and reconstruction, thus obtaining the radiation brightness with a spectral form at the pixel of the detector; finally, a required infrared spectrum band is integrated, thus obtaining a target infrared radiation characteristic value received by the detector. According to the integrated modeling method, the spectral ray tracking method runs through the whole solving process, and a solving model suitable for a ray tracking form is constructed, so that the integrated modeling method is suitable for infrared radiation characteristic simulation of a tail-flame-containing complicated target aircraft under a specific flying state.

The invention discloses a lithium ion battery thermal analysis method comprising the steps that the HPPC electrical performance test of an electrical core is performed so as to acquire the voltage andcurrent parameters; an electrical core equivalent circuit model is established and an electrical core heating power MAP is drawn; an electrical core CFD heat radiation model is established and the heating power MAP is inputted to the CFD heat radiation model so as to acquire a lithium ion battery simulated temperature rise change curve; the charge and discharge experiment is performed on the lithium ion battery so that the actual temperature rise change curve of the lithium ion battery is acquired; and the simulated temperature rise change curve and the actual temperature rise change curve are compared. The voltage and current parameters of the electrical core are acquired by performing the HPPC electrical performance test on the electrical core, the heating power MAP of the electrical core and the simulated temperature rise change curve of the lithium ion battery are further acquired, the simulated temperature rise change curve is compared with the actual temperature rise change curve of the lithium ion battery, and the related simulation parameters are modified to correct the simulated temperature rise change curve so that the simulated temperature rise change curve is enabled to be close to the actual temperature rise change curve as much as possible. The lithium ion battery thermal analysis method is used for thermal analysis of the lithium ion charge and discharge process.

The invention provides a method for predicting radiation of a photovoltaic power station based on an all-sky nephogram. The method comprises the steps of building a clear sky radiation model according to historical radiation data of clear sky of the photovoltaic power station; acquiring motion vectors and cloud form variation trends of cloud clusters with different thicknesses in a future time period by using the all-sky nephogram; acquiring the solar intensity in the cloud clusters; and building an ultra-short term radiation prediction model, and performing prediction on the radiation of the photovoltaic power station in the future time period. The method provided by the invention is accurate and effective, and can accurately predict the radiation of a future time period on the basis of ensuring predicted data output of basic weather types; accurate prediction for moving conditions of cloud clusters within a certain period of time in the future and conditions of radiation attenuation caused by shielding of various cloud clusters for the solar radiation is realized, so that the radiation of the photovoltaic power station in the future time period can be predicted accurately, accurate and effectively decision-making support is provided for power dispatching, thus the operation cost of an electric power system is reduced, and greater economic benefits and social benefits are acquired.

The invention provides a sea surface salinity retrieval method and a sea surface salinity retrieval device. The sea surface salinity retrieval method comprises the following steps: simulating atmosphere top brightness temperature so as to acquire a multi-incident angle brightness temperature simulation value of an ionopause above the atmosphere layer at an L wave band, a C wave band and a K wave band of a preset multi-angle radiation model, and a backscatter coefficient simulation value of the L wave band; respectively acquiring a multi-incident angle brightness temperature measuring value of the ionopause above the atmosphere layer at the L wave band, the C wave band and the K wave band, and a backscatter coefficient measuring value of the L wave band; performing sea surface salinity retrieval calculation according to the simulated multi-incident angle brightness temperature simulation value and the backscatter coefficient simulation value of the L wave band, and the acquired multi-incident angle brightness temperature measuring value and the backscatter coefficient measuring value of the L wave band. By adopting the sea surface salinity retrieval method, the accuracy rate of the retrieval calculation result can be improved.

The invention provides a method for projected display on a textured plane in the technical field of computer-based image processing. In the method, firstly, a radiation model is established for showing that after the light output by a projector is reflected by a projection screen, the light is grabbed by a camera; secondly, the luminosity response function of the projector and the camera, and the color mixing matrices of the projector and the camera are measured; thirdly, the geometrical mapping between the projector and the plane of the camera are established through projected checkerboard images; fourthly, with the given luminosity response function of the projector and the camera, and the color mixing matrices of the projector and the camera, two gray scale images are projected, and the reflectivity information of the projected surface and the ambient light information are found; fifthly, the projected images are rectified and are projected again before the projected images are output according to the geometrical mapping as stated in the third step and the reflectivity information of the projected surface and the ambient light information as stated in the fourth step. After the projected images are rectified and the light is accelerated through a GPU, the speed can reach 60fps and meets the requirement for real time. The method is applicable to various practical circumstances.

Methods and systems are provided for predicting internal sound pressure within a flow passage, by measuring a vibration velocity response of a wall of the flow passage, for example, using accelerometers. A radiation model may then be used for predicting externally radiated sound pressure to provide feedback to control a process control system. Methods and systems are also provided for predicting externally radiated sound pressure based on internally-mounted pressure transducer sensor data.

To perform a monocular remote determination of a surface's three-dimensional orientation, an orientation-determination apparatus employs a radiation model in which the assumption is made that light incident upon the surface may be polarized but not elliptically. It makes polarimetric measurements of radiation received from the surface in each of a plurality of wavelength bands in the neighborhood of a known or inferable resonance in the surface's refractive-index spectrum. By employing the model, the apparatus matches the spectrum thus measured with the known behavior, in the neighborhood of a refractive-index resonance, of Fresnel-reflectance spectra as functions of incidence angle. Application-specific information is used to dispel minor ambiguities in the result.

The invention relates to the technical field of sea exploration, particularly to a multi-parameter step-by-step sea surface salinity inversion method and device. The method comprises the following steps: obtaining the backscattering coefficient of an L waveband of a target sea surface area through a satellite-borne microwave scatterometer, and carrying out wind speed inverse operation according to the backscattering coefficient and NWP (Numerical Weather Prediction) wind speed information to obtain sea surface wind speed information; obtaining the sea surface radiation brightness temperature information of a C / K waveband through the satellite-borne microwave scatterometer, carrying out temperature inversion operation according to the sea surface radiation brightness temperature information to obtain sea surface temperature information; and substituting the sea surface wind speed information and the sea surface temperature information into a forward direction radiation model of the L waveband to carry out salinity inversion operation to obtain sea surface salinity information. The method can utilize load carried by a sea salinity satellite to independently carry out inversion on sea surface wind speed, sea surface temperature and sea surface salinity, dependency on external auxiliary data by sea surface salinity inversion is solved, and the accuracy of a salinity result is finally improved.

The invention provides a three-dimensional spreading simulation method of building group fire, and belongs to the technical field of civil engineering disaster prevention and mitigation. This method firstly establishes the indoor fire development model, then establishes the three-dimensional fire spread model between buildings, and finally simulates the fire spread of buildings. In the indoor firedevelopment model, fire development is divided into four stages: fire, explosion, full development, decay, which are described by temperature and heat release rate curves, and different structural types are described by different curve parameters; The three-dimensional fire spread model is composed of heat radiation model, heat plume model and ignition condition. The calculation of heat radiationand heat plume is based on three-dimensional coordinate system. Fire spread simulation of buildings refers to the combination of indoor fire development model and three-dimensional fire spread modelbetween buildings to simulate the fire spread of buildings. The invention can consider the influence of the three-dimensional terrain on the building fire spreading, gives the spreading influence range, and provides an important decision reference for fire rescue and prevention.

The invention provides a simulation method for the flow field and convection / radiation coupling heat transfer of a multi-nozzle rocket. Firstly, a three-dimensional model of the multi-nozzle rocket isestablished. Secondly, the multi-block structured mesh method is used to mesh the three-dimensional model. The mathematical model of plume field and convection heat transfer of multi-nozzle rocket isestablished again. S multicomponent equation is discretized and integrated by AUSM + scheme. The inviscid flux at the boundary of the model is obtained by differentiation. Then the improved radiationmodel DOM is opened to obtain the radiation absorption coefficient of the model: the integral of radiation heat transfer by DOM model. Differential fundamental equation discretization; The radiationintensity values of each point are obtained; Finally, use RNG k-Epsilon turbulence model, output Mach number, temperature, pressure flow field and convection / coupled heat flux cloud map; The method ofthe invention can not only improve the calculation accuracy but also reduce the calculation cost, and the calculation result can provide guiding significance for the thermal protection of the bottomof the rocket.

The invention relates to a single-particle fault injection simulating method based on a double-double exponential current source. The single-particle fault injection simulating method comprises the steps that 1, a single tube radiation model is established, and parameters are extracted; 2, device and circuit mixed simulation is conducted on a CMOS process phase inverter circuit execution device, and single-particle transient pulse current is obtained according to a selected incident ion LET value; 3, in the step of inserting the double-double exponential current source in the following form into a target circuit fault injection mode, the actual load situation of a circuit is considered, the simulation precision is increased by increasing one double exponential current source, the accuracyof total charge quantity is improved on the premise that correct injected pulse waveform is ensured, and the technical problems are solved that parameter extraction is complicated, the total quantityof injected charge is overstated and much time is consumed during transient current injection in a traditional fault injection method.

The present invention provides a method for controlling the rotate speed of the fan in an electronic system and a system for applying the method, wherein the electronic system includes a CPU and a heat radiation model set composed of a heat radiating fan and heat radiating fins. The method includes: measuring the kernel voltage of the CPU to obtain the power of the CPU, obtaining a first wait correcting fan rotate speed based on the power of the CPU, and correcting the first wait correcting fan rotate speed based on the characteristic data of the electronic system. The invention chooses the power generated during the operation of the CPU as the main criterion for adjusting the rotate speed of the fan, therefore the rotate speed of the fan can be adjusted in time based on the executing condition of the CPU. The invention is able to correct the rotate speed of the heat radiating fan based on the characteristic of the system, and can maintain basic heat radiating requirement of the CPU and the best control for the rotate speed of the fan even the CPU is matted with different heat radiating set and runs under different environmental temperature.

The invention discloses a silicon-on-insulator N-channel metal oxide semiconductor (SOI NMOS) total dosage radiation model building method, which belongs to the technical field of parameter extraction and model building. The method comprises the following steps of: obtaining model parameters before SOI NMOS radiation, adding parameter relevant to the total dosage to the model parameters and forming the SOI NMOS total dosage radiation model containing unknown parameters; and obtaining values of the unknown parameters in the SOI NMOS total dosage radiation model and forming the final total dosage radiation model. Through the model building method, the total dosage radiation model is more overall and reliable, and in addition, the automation on the newly added model parameter extraction is also realized by the method, so the complicated parameter extraction and model building become simpler and more efficient.

The invention discloses a DICOM data-based liver tumor microwave ablation three-dimensional temperature field simulation method, which comprises the following steps: step 1, reconstructing and repairing a tumor and blood vessel model based on DICOM data, introducing the model into a multi-physical field simulation module, selecting a working plane to draw an ablation needle structure chart, and constructing a simulation geometric model; step 2, setting different materials and parameters for a computational domain in the simulation geometric model, wherein the specific material types comprise liver, tumor and PTFE; step 3, constructing a coupling electromagnetic wave radiation model and a biological heat transfer model; step 4, dividing grids for the simulation geometric model according to the model constructed in the step 3 and a set microwave frequency, and setting a solver solving method; and 5, performing visualization processing on the simulation data obtained by solving to obtain temperature field distribution data. According to the simulation method, a three-dimensional finite element simulation model can be established by using preoperative image data of a patient, an ablation thermal field is calculated, and formulation of an operation scheme is guided.

The invention discloses a solar radiation temperature effect analysis method and system of a civil engineering structure. The method comprises the following steps: a geographical longitude and a latitude of a position where the structure is disposed are determined, and through installing a sensing apparatus on the structure, an ambient air temperature and a surface wind speed of the structure are measured. By use of a structure solar radiation model, direct radiation intensity, scattering intensity and reflection intensity acting on the surface of the structure are calculated and determined. According to solar radiation intensity of the structure surface, dynamic temperature boundary conditions are established, by use of a finite-element method, a three-dimensional thermal conduction equation of the structure is solved, and a dynamic temperature effect of any one point at the surface of the civil engineering structure or inside the structure can be determined. The method and system are applied to temperature effect analysis and evaluation of various different types of civil engineering structures under a solar radiation effect, and are particularly applied to analysis evaluation of a temperature effect of a structure with a quite small geometric dimension and a structure with complex shielding around.

The invention belongs to the field of agricultural remote sensing, and relates to a regional crop maturing stage prediction method based on accumulated temperature, radiation and soil water content. The specific steps of the method include: S1, synthesizing MODIS NDVI data of a to-be-predicted crop at a whole growing stage according to a time sequence, and extracting a planting region by employinga random forest algorithm; S2, constructing an accumulated temperature and radiation model from a heading stage to a maturing stage in a full irrigation condition; S3, constructing a Thiessen polygonby regarding agricultural weather stations as nodes; S4, calibrating a SWAP model of the to-be-predicted crop of a research region; S5, establishing a maturing stage correction factor lookup table ofthe soil water content at the whole growing stage and a maturing date of the to-be-predicted crop in a water stress condition; and S6, dynamically adjusting maturing stage model results of accumulated temperature and radiation grid unit by grid unit, and obtaining an optimal maturing stage prediction result of the to-be-predicted crop. According to the method, advantages of a statistical model and a mechanism model are combined, the maturing stage of the crop can be predicted in a large-region scale, and the prediction precision of the maturing stage of the crop is improved.

The invention discloses an ultraviolet fixed star simulator for calibrating an ultraviolet navigation sensor. The ultraviolet fixed star simulator comprises a black surface plate, an LED (Light-emitting Diode) light, optical fibers, deuterium lamps, optical filters and modulating disks, wherein the LED light for simulating the earth is arranged in the middle of the black surface plate; N light holes for simulating a fixed star are arranged on the periphery of the LED light; the optical fiber and the deuterium lamp are assembled on each light hole; each deuterium lamp is used as a light source to output an ultraviolet spectrum with 360nm-200nm; the modulating disk is arranged between an inlet of each optical fiber and each deuterium lamp; the optical filter with different ultraviolet spectrum sections is arranged on each modulating disk; and a motor drives each modulating disk to rotate so as to drive each optical filter to rotate, so that the optical fibers radiate ultraviolet lights with spectrum sections. According to the invention, a silica fiber assembly is adopted to simulate fixed star ultraviolet spectrum radiation, and silica fibers simulate ultraviolet single fixed stars, multiple fixed star ultraviolet spectrum radiation models through different combination manners. The ultraviolet fixed star simulator has a simple structure, is easy to realize, and solves the problem of static and dynamic calibration of ultraviolet star points and star maps of the ultraviolet navigation sensor.

A radiation module group comprises a centrifugal fan and fin set. The centrifugal fan comprises a rotor and a wind outlet including a wind-near side and wind-far side positioned at two ends and middle area between wind-near side and wind-far side, the fin set, disposed at wind outlet, includes several radiation sheets. The radiation sheet corresponding to wind-near side and wind-far side is longer than that in middle area to form a stepped shape on the side corresponding to centrifugal fan rotor and a linear type of other side far from centrifugal fan rotor, thus promoting utilization rate of cooling air current provided by radiation fan, enlarging contact area of radiation sheet and air current, and promoting radiation performance of whole radiation module group.

The invention relates to a fog-degraded image sharpening method based on a turbulent infrared radiation model. The method comprises the following steps: implementing Fourier transform on an image to obtain a degraded image in the frequency domain, and further obtaining an atmospherical modulation transfer function (MTF) according to the degraded image in the frequency domain; calculating the unknown refractive index structure coefficient in the atmospherical MTF; removing the atmospherical MTF from the degraded image in the frequency domain by filtration in the frequency domain; and implementing inverse Fourier transform on the frequency domain image of which the atmospherical MTF is filtered out to obtain the image subjected to sharpening processing. According to the fog-degraded image sharpening method disclosed by the invention, the influence of atmospheric scattering on image contrast attenuation can be recovered based on the inverse process analysis of the degraded infrared image generation without increasing the hardware cost, and thus the sharpening processing problem of the fog-degraded infrared images can be solved, and relatively simple calculation and relatively high efficiency can be achieved.

The invention discloses an intelligent deployment method and device for fire fighting forces for processing fire disasters in a tank farm. A three-dimensional tank farm-factory model, a human-vehicle three-dimensional model, a fire kinetic model are loaded on a GIS platform; and a three-dimensional tank farm-factory fire fighting electronic sand table is constructed. With a fire plume model and a heat radiation model in the fire kinetic model, a related flame parameter, a dangerous range and a rescue operation range are predicted scientifically and thus a fire fighting strategy as the reference for fire fighting commanders is provided, thereby realizing intelligent deployment of the fire fighting forces based on scientific prediction. Therefore, the combating commanding level of the fire fighting commander as well as the fire fighting rescue capability of the fire brigade is enhanced; and thus the casualties and property losses that are caused by fire disasters can be reduced to the greatest extent.

The invention discloses a method for optimizing parameters of a secondary sound source in active noise reduction of a power transformer. The method comprises the following steps of numbering positions; initializing an amplitude and a phase angle; primarily selecting the amplitude and the phase angle by utilizing a genetic algorithm; substituting the primarily selected amplitude, the phase angle, the number and the positions; performing feasibility judgment; and continuing fine-tuning and optimizing the amplitude and the phase angle of the secondary sound source and the like. The optimization of the parameters of the secondary sound source is a core issue researched by an active noise reduction technology of the power transformer. On the basis of analyzing an active noise reduction physical mechanism, a noise radiation model of the power transformer is established. Considering actual engineering needs, the parameters of the secondary sound source are divided into two categories, and the parameters of the secondary source are optimized from three aspects, namely the number, the position and the source strength. In view of the interaction among the parameters such as the positions and the source strength, fixed parameters and flexible parameters are alternately preferred to form a genetic algorithm-based gradual search approaching strategy, so that a good overall active noise reduction effect can be achieved.

The invention provides a four-spectrum turbine blade radiation temperature measurement method. The method includes: acquiring a voltage-temperature curve through pyrometer calibration, and calibratinga user pyrometer; measuring the radiation energy on the surface of a working turbine blade to acquire the radiation energy of four different spectrum sections; processing with a photoelectric conversion module, a signal processing module and a data collecting module to obtain spectrum color temperature under different spectrum; according to the fact that the spectrum color temperature of a measuring target under different spectrum is different due to the influence of emissivity, but the real temperature of the measuring target under different spectrum is identical, building a four-spectrum radiation model according to a Planck formula; building a target equation according to the radiation model to solve the real temperature of the blade, wherein due to the fact that the blade is high in rotation speed and large in online monitoring quantity, a differential evolution algorithm is selected to solve the real temperature under the premise that precision is guaranteed so as to increase calculation speed. By the method, the real temperature of the target can be effectively and accurately calculated, and the online temperature measuring requirements of the turbine blade are satisfied.

The invention discloses a solar assisted home energy management method capable of considering various uncertain factors under a real-time electricity price environment. The method comprises the following steps: firstly, equally dividing an energy dispatching cycle into a plurality of time periods used for simulating real-time electricity price, and on the basis, constructing a solar assisted home energy utilization system model; secondly, considering user comfort level preference, and determining the optimization target and the constraint condition of system energy management on the premise of guaranteeing that the user comfort level is met; thirdly, constructing a real-time electricity price model, a solar radiation model and an outdoor temperature model capable of considering uncertainty, and adopting a Monte Carlo simulation method to establish a large-scale random scene which embodies the uncertainty; and finally, adopting a scene reduction technology to eliminate a low-probability scene and a scene with an equivalent clustering probability, and for each scene, adopting a two-stage stochastic programming method to carry out rolling solving on the electricity utilization optimization problem of each time period in the scene. The method is suitable for the energy management of the home energy utilization system under the real-time electricity price environment.

The invention discloses an LED plant growth spectrum fitting algorithm. The algorithm is characterized by comprising the following steps: 1, establishing spectrum radiation model of a single LED: performing approximation on a distribution model of radiation intensities along with wavelengths in a unit solid angle on an optical axial direction of the single LED by use of a Gauss distribution function, f(x)=ae<-(x-b)<2> / C<2>>; and 2, carrying out a curve fitting algorithm: according to a superposition principle of spectrums, obtaining a basic mathematic model of spectrum synthesis of multiple LEDs: L(lambda)=sigma KiSi(lambda); and in a fitting process, setting a first wavelength lambda0 and a coefficient K0, and successively solving lambda (i) and Ki by use of a least square algorithm. According to the invention, any one fitting spectrum with quite high similarity with a target spectrum can be obtained through spectrum fitting.

The invention relates to a method for separating vegetation information from earth surface transmission signals in multi-angle satellite observation signals, which comprises the following steps that: 1) by combination of a discrete vegetation model and an AIEM (advanced integral equation model) radiation model, a vegetation covering earth surface radiation model is built; 2) by utilizing the vegetation covering earth surface radiation model, the transmission situations of microwaves at different angles on the earth surface can be simulated under various vegetation coving and earth surface roughness conditions, and a vegetation covering earth surface simulation database is built; and 3) by utilizing the data simulated by the vegetation covering earth surface simulation database, the theoretical derivation is conducted to obtain a method capable of effectively separating the vegetation information from the earth surface transmission signals. The method can also comprise 4) the best combination of multi-angle microwave observation signals can be obtained by the theoretical derivation, and a multi-angle microwave vegetation index is built. Through the method, the vegetation information can be effectively separated from the earth surface information obtained from a satellite, and the method can be accurately used for the monitoring of the satellite for the earth surface vegetation. The multi-angle microwave vegetation index can also be built to meet the application requirements of multi-angle satellites.